Time-delay Neural Networks for Solving Inverse Quasi-variational Inequalities
In this paper,a delay neural network for solving inverse quasi-variational inequalities in Euclid-ean space was studied.Firstly,under the conditions of cocoercion and Lipschitz continuity,we obtained the existence and uniqueness of the solution of the inverse quasi-variational inequality problem by using the fixed point principle.Furthermore,we considered a delayed neural network for solving the inverse qua-si-variational inequality problem,and proved the global exponential stability of the delayed neural network under the conditions of strongly monotone and Lipschitz continuity.
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